Data Engineer
Indexed description
We're hiring on behalf of a Haystack partner!
The Role
• Design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models.
• Ingest, transform, and load data from various sources into data warehouses.
• Ensure data quality, integrity, and security through validation, cleansing, and governance policies.
• Optimize data systems for performance, scalability, and reliability.
• Collaborate with stakeholders to understand data requirements and deliver effective data solutions.
• Integrate AI/ML models with data pipelines and warehouses for predictive analytics.
What You'll Need
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent work experience.
• 6+ years of experience in data engineering, with a focus on large-scale data systems.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL, database design, data modeling, and data warehousing concepts.
• Hands-on experience building ETL pipelines using cloud-based services and frameworks.
• Experience with data storage solutions including relational, NoSQL, and cloud data warehouses.
What's On Offer
• Competitive annual salary ($79,370 – $134,929) plus bonus potential.
• Comprehensive health, dental, and vision insurance.
• 401(k) savings plan with company match.
• Generous paid time off and holiday leave.
Apply via Haystack today!
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